![](images/graphics/blank.gif)
Stochastic expression
-
Single-molecule RNA fluorescence in situ hybridization (smFISH) provides unparalleled resolution in the measurement of the abundance and localization of nascent and mature RNA transcripts in fixed, single cells. We developed a computational pipeline (BayFish) to infer the kinetic parameters of gene expression from smFISH data at multiple time points after gene induction.
12p
vialfrednobel
29-01-2022
11
0
Download
-
Distinct RNA species may compete for binding to microRNAs (miRNAs). This competition creates an indirect interaction between miRNA targets, which behave as miRNA sponges and eventually influence each other’s expression levels. Theoretical predictions suggest that not only the mean expression levels of targets but also the fluctuations around the means are coupled through miRNAs.
14p
vialfrednobel
29-01-2022
9
0
Download
-
Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average expression across cells. Single-cell RNA sequencing allows the comparison of expression distribution between the two alleles of a diploid organism and the characterization of allele-specific bursting.
15p
vialfrednobel
29-01-2022
12
0
Download
-
Single-cell transcriptomics reveals gene expression heterogeneity but suffers from stochastic dropout and characteristic bimodal expression distributions in which expression is either strongly non-zero or non-detectable. We propose a two-part, generalized linear model for such bimodal data that parameterizes both of these features.
13p
viaristotle
29-01-2022
13
0
Download
-
The aim of this note is considering a dynamical system expressed by a Langevin equation driven by a Volterra process. An Ornstein - Uhlenbeck process as the solution of this kind of equation is described and a problem of state estimation (filtering) for this dynamical system is investigated as well.
8p
spiritedaway36
25-11-2021
9
1
Download
-
Time series single-cell RNA sequencing (scRNA-seq) data are emerging. However, the analysis of time series scRNA-seq data could be compromised by 1) distortion created by assorted sources of data collection and generation across time samples and 2) inheritance of cell-to-cell variations by stochastic dynamic patterns of gene expression.
16p
visilicon2711
20-08-2021
8
1
Download
-
Bone morphogenetic protein (BMP) signalling has emerged as a fundamental pathway in endothelial cell biology and deregulation of this pathway is implicated in several vascular disorders. BMP signalling output in endothelial cells is highly context- and dose-dependent.
16p
viwyoming2711
16-12-2020
7
1
Download
-
Adjusting the capacity of metabolic pathways in response to rapidly changing environmental conditions is an important component of microbial adaptation strategies to stochastic environments.
13p
vikentucky2711
24-11-2020
10
2
Download
-
The advent of high throughput RNA-seq at the single-cell level has opened up new opportunities to elucidate the heterogeneity of gene expression. One of the most widespread applications of RNA-seq is to identify genes which are differentially expressed between two experimental conditions.
13p
vioklahoma2711
19-11-2020
18
1
Download
-
SgnesR (Stochastic Gene Network Expression Simulator in R) is an R package that provides an interface to simulate gene expression data from a given gene network using the stochastic simulation algorithm (SSA).
12p
viflorida2711
30-10-2020
12
2
Download
-
The Partially-Observed Boolean Dynamical System (POBDS) signal model is distinct from other deterministic and stochastic Boolean network models in removing the requirement of a directly observable Boolean state vector and allowing uncertainty in the measurement process, addressing the scenario encountered in practice in transcriptomic analysis.
8p
viconnecticut2711
29-10-2020
17
1
Download
-
Reverse engineering of gene regulatory networks from time series gene-expression data is a challenging problem, not only because of the vast sets of candidate interactions but also due to the stochastic nature of gene expression.
12p
vicoachella2711
27-10-2020
16
2
Download
-
Large mega base-pair genomic regions show robust alterations in DNA methylation levels in multiple cancers. A vast majority of these regions are hypomethylated in cancers. These regions are generally enriched for CpG islands, Lamin Associated Domains and Large organized chromatin lysine modification domains, and are associated with stochastic variability in gene expression.
10p
vinaypyidaw2711
26-08-2020
15
2
Download
-
This paper investigates high frequency time-series features of stock returns and volatility on China's stock markets. The empirically observed probability distributions of log-returns are almost symmetric, highly leptokurtic, and characterized by a non-Gaussian profile for small index changes. Thus, the China's stock markets cannot be described by a random walk. We suggest that the correlation dynamics and stochastic changes of stock prices of China's stock markets are investigated by the Lorentz stable distribution.
34p
chauchaungayxua2
19-01-2020
16
3
Download
-
We propose WIDL-expressions as a flexible formalism that facilitates the integration of a generic sentence realization system within end-to-end language processing applications. WIDL-expressions represent compactly probability distributions over finite sets of candidate realizations, and have optimal algorithms for realization via interpolation with language model probability distributions. We show the effectiveness of a WIDL-based NLG system in two sentence realization tasks: automatic translation and headline generation. ...
8p
hongvang_1
16-04-2013
49
2
Download
-
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal is to enrich a stochastic player with highlevel guidance expressed in text. Our model jointly learns to identify text that is relevant to a given game state in addition to learning game strategies guided by the selected text.
10p
hongdo_1
12-04-2013
47
4
Download
-
V an isometry, as in the theorem of Plancherel, is not just a weighted L2-norm on some measure space. This is due to the fact that the back transformation Z has a different expression on each branch, and this is caused by the ramification of the domain. It is not clear to us how one could find a family of generalized eigenfunctions leading to a spectral representation of A.
0p
camchuong_1
04-12-2012
62
3
Download
-
Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2011, Article ID 572876, 5 pages doi:10.1155/2011/572876 Research Article Inference of Kinetic Parameters of Delayed Stochastic Models of Gene Expression Using a Markov Chain Approximation Henrik Mannerstrom,1 Olli Yli-Harja,1, 2 and Andre S. Ribeiro1 1 Computational Systems Biology Research Group, Department of Signal Processing, Tampere University of Technology, P.O.
6p
dauphong13
10-02-2012
48
5
Download
-
Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: A stochastic model of oncogene expression and the relevance of this model to cancer therapy
7p
toshiba17
31-10-2011
51
1
Download
CHỦ ĐỀ BẠN MUỐN TÌM
![](images/graphics/blank.gif)